Linear regression and feature selection are two such foundational ... The primary goal of a linear regression training algorithm is to compute coefficients that make the difference between reality ...

Linear regression algorithms fit a straight line ... you’ll need to deal with optimizers, data cleaning, feature selection, feature normalization, and (optionally) hyperparameter tuning.